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High-value Approaches to ML in Computer Security

Deepali Arora

You’ve likely seen cybersecurity companies tossing around buzzwords related to machine learning, artificial intelligence, and data science in recent years with increasing frequency. And for good reason. ML models, if designed with care, can provide solutions to problems that are too complex or time consuming for humans to manage alone. They can speed up processes and augment product offerings in impressive ways. Unfortunately many organizations miss the mark, blinded by the buzzword but lacking the experience, intention, or understanding to generate high value with machine learning. The simple fact is that ML sells. It grabs the attention of customers, investors, and the public, even if an organization’s use of ML isn’t elevating their product or, in worst case scenarios, is creating dangerous blind spots. As a seasoned data scientist who’s passionate about building ML models for the security space, this drives me crazy. 

In this talk, I’ll be breaking down the information asymmetry that exists between ML experts and the rest of the security world. If you’re considering how to implement ML in your product, curious what the data scientists within your organization are spending their day doing, are looking for ways to weed through the buzzwords when vetting a new security product, or somewhere in between, join me to learn how to generate high value with machine learning.

Speakers Bio: Dr. Deepali Arora is an experienced data scientist with a proven track record of developing AI based models for deriving actionable insights for various industrial applications. Over the course of her rich career as a data scientist, Dr. Arora has developed models for companies operating in the following domains: telecommunications and Internet of things (IoT), security of computer systems and cloud infrastructure, healthcare, eCommerce, gaming, mining, social media, travel sector, and online real time targeted mobile advertising. Some of the AI based models developed by Dr. Arora are still used across companies with strong presence in Canadian or Global markets and has helped those companies in saving thousands of dollars in resources. Dr. Arora obtained her Ph.D degree from the department of Electrical and Computer Engineering, University of Victoria and has published nearly 33 papers in top tier journals and conference proceedings. She is also an active member of IEEE, Island Women in Technology, and Viatec and serves as an advisor for couple of AI based start up companies based in Vancouver and Victoria respectively. Dr. Arora is currently working as a Senior Data Scientist for Cmd, a proactive Linux security company that is building a software to protect sensitive data of some of the world’s top enterprise organizations from potential security breaches.